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3 years ago

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The blood platelet counts of a group of women have a bell-shaped distribution with a mean of 246.9 and a standard deviation of 6

9.3 (All units are 1000 cells/l.) Using the empirical rule, find each approximate percentage below. a. What is the approximate percentage of women with platelet counts within 1 standard deviation of the mean, or between 177.6 and 316 2? b. What is the approximate percentage of women with platelet counts between 39.0 and 454.8? a. Approximately % of women in this group have platelet counts within 1 standard deviation of the moan, or between 177.6 and 316.2. (Type an integer or a decimal. Do not round.)

1 answer:

belka [17]3 years ago

3 0

Answer:

The approximate percentage of women with platelet counts within 1 standard deviation of the mean, or between 177.6 and 316.2 is 68%.

The approximate percentage of women with platelet counts between 39.0 and 454.8 is 99.7%

Step-by-step explanation:

Mean : $\mu = 246.9$

Standard deviation : $\sigma = 0.49$

Empirical rule :

1 ) 68% of the data lies within 1 standard deviation of mean

This means 68% of data lies between: $\mu-\sigma$ to $\mu+\sigma$

2) 95% of the data lies within 2 standard deviation of mean

This means 95% of data lies between: $\mu-2\sigma$ to $\mu+2\sigma$

3) 99.7% of the data lies within 3 standard deviation of mean

This means 99.7% of data lies between: $\mu-3\sigma$ to $\mu+3\sigma$

Now to find the approximate percentage of women with platelet counts within 1 standard deviation of the mean, or between 177.6 and 316. 2

Use rule 1: $\mu-\sigma$ to $\mu+\sigma$

$246.9-69.3$ to $246.9+69.3$

$177.6$ to $316.2$

So, according to rule 1, 68% of the data lies within 1 standard deviation of mean i.e. 68% of the data lies between 177.6 and 316.2.

Now to find the approximate percentage of women with platelet counts between 39.0 and 454.8?

Use rule 3: $\mu-3\sigma$ to $\mu+3\sigma$

$\mu-3\sigma$ to $\mu+3\sigma$

$39$ to $454.8$

So, According to rule 3 : 99.7% of the data lies within 3 standard deviation of mean i.e. 99.7% of data lies between 39.0 and 454.8

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